BUILT DEMONSTRATION
A checked weekly report from a small CSV
Inspect a fictional weekly sales report, its source CSV, checked totals, and acceptance criteria. An example of AI-assisted data analysis and reporting automation.
The request
“Turn our weekly exports into a simple report, keep the totals checkable, and make the format reusable.” This demonstration uses fictional aggregate data, not customer records.
SAMPLE DELIVERABLE · FICTIONAL DATA
Weekly sales summary
$8,500Gross sales
$350Refunds
$8,150Net sales
| Day | Orders | Gross | Refunds | Net |
|---|---|---|---|---|
| Monday | 12 | $1,200 | $50 | $1,150 |
| Tuesday | 18 | $1,800 | $0 | $1,800 |
| Wednesday | 15 | $1,500 | $100 | $1,400 |
| Thursday | 22 | $2,200 | $150 | $2,050 |
| Friday | 18 | $1,800 | $50 | $1,750 |
| Total | 85 | $8,500 | $350 | $8,150 |
Net sales = gross sales − refunds. Taxes, fees, costs, and timing differences are not included. This is not a profit figure.
Download the source CSVWhat the summary can say
Thursday has the highest net sales in this five-day sample. Refunds total $350. One week of fictional data cannot establish a trend, forecast, or cause.
How we would check a real deliverable
- Every report total reconciles with the supplied source files.
- Missing values, duplicates, and transformations are documented.
- The report defines each measure and names what is excluded.
- A teammate can reproduce the output using the handoff instructions.
What this demonstration proves
The sample report is built and its arithmetic is checked. It illustrates an output you can inspect. An automated refresh, connection to your systems, or claim of time saved would require a separately scoped implementation and test.
Want a result like this?
Describe your problem and the output you need. Share public links or redacted files; goals and budget can come later. A person replies by email, and scope is agreed before work.
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